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Screening of key genes related to angiogenesis in rosacea based on bioinformatics analysis
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Lu SUN, Xiang LI, Jinqiu WANG, Lian ZHANG, Hongzhi GU, Qin CHEN, Lan GE, Zhifang ZHAI
Journal of Army Medical University | 2025, 47(7) : 701 - 707
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Journal of Army Medical University | 2025, 47(7): 701-707
• Basic Medicine •
Screening of key genes related to angiogenesis in rosacea based on bioinformatics analysis
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Lu SUN, Xiang LI, Jinqiu WANG, Lian ZHANG, Hongzhi GU, Qin CHEN, Lan GE, Zhifang ZHAI
Affiliations
  • 1Department of Dermatology,First Affiliated Hospital,Army Medical University (Third Military Medical University),Chongqing,China
Published: 2025-04-15 doi: 10.16016/j.2097-0927.202502047
Outline
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Objective‍

To investigate the differential expression genes (DEGs) related to angiogenesis in rosacea (RA) by utilizing bioinformatics analysis in order to screen the key genes and verify their mRNA expression levels.

Methods‍

The gene microarray dataset GSE65914 was retrieved from the Gene Expression Omnibus (GEO) repository. Analyzed by R programming, the dataset was refined to identify DEGs related to RA, and then cross-referenced with angiogenesis-related genes from the GeneCards database to get a subset specific to RA angiogenesis. The process of identifying key genes was augmented by employing protein-protein interaction (PPI) network analysis and Cytoscape-based computational algorithms. The mRNA expression levels of the aforementioned pivotal genes were detected by real-time fluorescent quantitative reverse transcription PCR (RT-qPCR).

Results‍

A total of 947 RA-associated DEGs were identified from GEO dataset, and then 202 genes related to RA angiogenesis were further delineated. PPI network analysis and Cytoscape algorithm finally identified 3 key genes, that is, CXCL8, IL-1B, and STAT1. The results of RT-qPCR showed that the mRNA expression levels of MIP-2, GCP-2, IL-1B and STAT1 in RA lesions were significantly higher than those in normal controls (P<0.05).

Conclusion‍

With aid of bioinformatics analysis, our study has screened and validated key genes associated with angiogenesis in RA, namely CXCL8, IL-1B, and STAT1, which providing a theoretical basis for elucidating the potential mechanisms underlying RA-induced angiogenesis and developing targeted therapeutic strategies.

rosacea  /  angiogenesis  /  bioinformatics analysis  /  differentially expressed gene
孙露, 李想, 王金秋, 张恋, 顾洪芝, 陈沁, 葛兰, 翟志芳. 基于生信分析玫瑰痤疮毛细血管增生相关关键基因的筛选. 陆军军医大学学报, 2025 , 47 (7) : 701 -707 . DOI: 10.16016/j.2097-0927.202502047
Lu SUN, Xiang LI, Jinqiu WANG, Lian ZHANG, Hongzhi GU, Qin CHEN, Lan GE, Zhifang ZHAI. Screening of key genes related to angiogenesis in rosacea based on bioinformatics analysis[J]. Journal of Army Medical University, 2025 , 47 (7) : 701 -707 . DOI: 10.16016/j.2097-0927.202502047
Year 2025 volume 47 Issue 7
10
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Article Info
doi: 10.16016/j.2097-0927.202502047
  • Receive Date:2025-02-16
  • Online Date:2026-10-28
  • Published:2025-04-15
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History
  • Received:2025-02-16
  • Revised:2025-03-03
Affiliations
    1Department of Dermatology,First Affiliated Hospital,Army Medical University (Third Military Medical University),Chongqing,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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